YoVDO

ExaFEL - Achieving Real-Time XFEL Data Analysis Using Exascale Hardware

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

High Performance Computing Courses Data Analysis Courses Python Courses C++ Courses

Course Description

Overview

Explore real-time data analysis for X-ray Free Electron Laser (XFEL) experiments using exascale hardware in this 52-minute conference talk by Johannes Blaschke from Lawrence Berkeley Laboratory. Discover how the ExaFEL project tackles the challenge of processing terabytes of data per day collected at the Linac Coherent Light Source (LCLS) using high-performance computing resources at NERSC. Learn about the Python-based workflow that allows for rapid user input during experiments while offloading computationally intensive tasks to C++ and Kokkos. Examine performance data collected over two years of beam-times and gain insights into the frequency of experimental operator interactions with the data analysis workflow. Understand the implications for future workflow design, performance monitoring, and benchmarking of interactive workflows in experimental sciences.

Syllabus

Johannes Blaschke - ExaFEL: Achieving real-time XFEL data analysis using Exascale Hardware


Taught by

Institute for Pure & Applied Mathematics (IPAM)

Related Courses

High Performance Computing
Georgia Institute of Technology via Udacity
Введение в параллельное программирование с использованием OpenMP и MPI
Tomsk State University via Coursera
High Performance Computing in the Cloud
Dublin City University via FutureLearn
Production Machine Learning Systems
Google Cloud via Coursera
LAFF-On Programming for High Performance
The University of Texas at Austin via edX